HUAWEI NAM-LX9
Geekbench AI Score
608
Single Precision Score
1015
Half Precision Score
937
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 01:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM SM7325 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | HUAWEI NAM-LX9 |
| Model ID | HUAWEI NAM-LX9 |
| Motherboard | NAM |
| CPU Information | |
|---|---|
| Name | ARM SM7325 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.8 IPS |
|
|
Image Classification (Q)
|
99% |
645
120.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1095
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (HP)
|
99% |
4079
4.76 IPS |
|
|
Pose Estimation (Q)
|
97% |
4017
4.70 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
99% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
85% |
565
45.5 IPS |
|
|
Face Detection (SP)
|
100% |
1190
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
1819
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1415
10.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2377
18.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
1969
17.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2840
3.65 IPS |
|
|
Style Transfer (HP)
|
100% |
6063
7.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6018
7.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1047
38.8 IPS |
|
|
Text Classification (SP)
|
35% |
25
239.0 IPS |
|
|
Text Classification (HP)
|
35% |
36
329.6 IPS |
|
|
Text Classification (Q)
|
35% |
36
323.4 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (HP)
|
97% |
492
8.51 IPS |
|
|
Machine Translation (Q)
|
64% |
401
8.24 IPS |
